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Neural network and genetic algorithm as a new approach in design optimization of induction machines


Smajić, Jasmin; Berberović, Sead; Madžarević , Vlado; Kapetanović , Izudin; Haznadar , Zijad; Tokić , Amir
Neural network and genetic algorithm as a new approach in design optimization of induction machines // 10th International Power Electronics and Motion Control Conference EPE-PEMC 2002 Proceedings / Benčić, Zvonko (ur.).
Zagreb: Faculty of Electrical Engineering and Computing, 2002. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Neural network and genetic algorithm as a new approach in design optimization of induction machines

Autori
Smajić, Jasmin ; Berberović, Sead ; Madžarević , Vlado ; Kapetanović , Izudin ; Haznadar , Zijad ; Tokić , Amir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
10th International Power Electronics and Motion Control Conference EPE-PEMC 2002 Proceedings / Benčić, Zvonko - Zagreb : Faculty of Electrical Engineering and Computing, 2002

Skup
10th International Power Electronics and Motion Control Conference EPE-PEMC 2002

Mjesto i datum
Cavtat & Dubrovnik , Hrvatska, 09-11.09.2002

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
design; software; neural networks; induction motors

Sažetak
A new approach for optimization of induction machines is presented in this paper.This algorithm is based on the neural networks and genetic algorithm.Neural networks are used as a tool for prediction of induction machine characteristics with respect to induction machine geometrical variables.The optimization process is based on genetic algorithm, as a method from the category of probabilistic algorithms.Optimization algorithm is tested on the optimization of double-cage induction machine starting characteristics.Numerical calculations of induction machine starting characteristics, as an important part of this algorithm, are performed using finite element method for electromagnetic field computation inside of induction machine.Results of electromagnetic field computation are used for synthesis of induction machine equivalent circuit.Full algorithm for calculation of induction machine starting characteristics is developed and named as &#8220 ; voltage balanced iterative process &#8221 ; . Results of starting characteristics calculation are compared with results of experimental measurement. Result of optimization process is induction motor with better starting performances.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekt / tema
0036024

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Zijad Haznadar (autor)

Avatar Url Sead Berberović (autor)

Citiraj ovu publikaciju

Smajić, Jasmin; Berberović, Sead; Madžarević , Vlado; Kapetanović , Izudin; Haznadar , Zijad; Tokić , Amir
Neural network and genetic algorithm as a new approach in design optimization of induction machines // 10th International Power Electronics and Motion Control Conference EPE-PEMC 2002 Proceedings / Benčić, Zvonko (ur.).
Zagreb: Faculty of Electrical Engineering and Computing, 2002. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Smajić, J., Berberović, S., Madžarević , V., Kapetanović , I., Haznadar , Z. & Tokić , A. (2002) Neural network and genetic algorithm as a new approach in design optimization of induction machines. U: Benčić, Z. (ur.)10th International Power Electronics and Motion Control Conference EPE-PEMC 2002 Proceedings.
@article{article, editor = {Ben\v{c}i\'{c}, Z.}, year = {2002}, keywords = {design, software, neural networks, induction motors}, title = {Neural network and genetic algorithm as a new approach in design optimization of induction machines}, keyword = {design, software, neural networks, induction motors}, publisher = {Faculty of Electrical Engineering and Computing}, publisherplace = {Cavtat and \#38; Dubrovnik , Hrvatska} }